Descriptor
| Cluster Analysis | 2 |
| Information Retrieval | 2 |
| Information Seeking | 2 |
| Information Sources | 2 |
| Classification | 1 |
| Cluster Grouping | 1 |
| Electronic Text | 1 |
| Evaluation Methods | 1 |
| Information Systems | 1 |
| Online Searching | 1 |
| Relevance (Information… | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedNomoto, Tadashi; Matsumoto, Yuji – Information Processing & Management, 2003
Introduces a novel approach to unsupervised text summarization. Proposes an "information-centric" approach to evaluation, where the quality of summaries is judged not in terms of how well they match human-created summaries but in terms of how well they represent their source documents in information retrieval tasks such as document…
Descriptors: Cluster Analysis, Cluster Grouping, Electronic Text, Evaluation Methods
Peer reviewedMiyamoto, Sadaaki – Journal of the American Society for Information Science, 1998
Develops a method of rough retrieval, an application of the rough set theory to information retrieval. The aim is to: (1) show that rough sets are naturally applied to information retrieval in which categorized information structure is used; and (2) show that a fuzzy retrieval scheme is induced from the rough retrieval. (AEF)
Descriptors: Classification, Cluster Analysis, Information Retrieval, Information Seeking
